Carl Strathearn
carl strathearn

Dr Carl Strathearn

Lecturer

  C.Strathearn@napier.ac.uk

   

Biography

Carl Strathearn is a Lecturer in AI, he has a first-class B.A (Hons) in Multimedia (AI Pathway), an MRES with distinction in advanced animatronics from The University of Huddersfield and a PhD in AI and Humanoid Robotics from Staffordshire University.

Carl is interested in developing realistic humanoid robots and AI systems that emulate the human condition. His recent research in developing a ‘Multimodal Turing Test for Realistic Humanoid Robots’ was published in; The Guardian, BBC Science, The Conversation and Horizon. Carl is interested in the design (3D CAD), engineering (3D printing and CNC machining) and programming of robotic systems that operate in real world environments. He believes that creating realistic humanoid robots is significant to humanity as the human face is the most natural interface for conducing face-to-face communication and the human form the most effective design for traversing the man-made areas of the planet.

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14 results

A Commonsense-enhanced Document-Grounded Conversational Agent: A Case Study on Task-based Dialogue

Conference Proceeding
Strathearn, C., & Gkatzia, D. (in press)
A Commonsense-enhanced Document-Grounded Conversational Agent: A Case Study on Task-based Dialogue. In ICNLSP Conference
This paper argues that future dialogue systems must be able to retrieve relevant information from multiple structured and unstructured data sources in order to generate natura...

The Task2Dial Dataset: A Novel Dataset for Commonsense-enhanced Task-based Dialogue Grounded in Documents

Conference Proceeding
Strathearn, C., & Gkatzia, D. (2021)
The Task2Dial Dataset: A Novel Dataset for Commonsense-enhanced Task-based Dialogue Grounded in Documents. In Proceedings of The Fourth International Conference on Natural Language and Speech Processing (ICNLSP 2021) (242-251
This paper describes the Task2Dial dataset, a novel dataset of document-grounded task-based dialogues in the food preparation domain , where an Information Giver (IG) provides...

Chefbot: A Novel Framework for the Generation of Commonsense-enhanced Responses for Task-based Dialogue Systems

Conference Proceeding
Strathearn, C., & Gkatzia, D. (2021)
Chefbot: A Novel Framework for the Generation of Commonsense-enhanced Responses for Task-based Dialogue Systems. In Proceedings of the 14th International Conference on Natural Language Generation (46-47
Conversational systems aim to generate responses that are accurate, relevant and engaging, either through utilising neural end-to-end models or through slot filling. Human-to-...

The Multimodal Turing Test for Realistic Humanoid Robots with Embodied Artificial Intelligence

Conference Proceeding
Strathearn, C., & Ma, M. (2021)
The Multimodal Turing Test for Realistic Humanoid Robots with Embodied Artificial Intelligence. In Joint Proceedings of the LIFELIKE 2020 - 8th Edition in the Evolution of the Workshop Series of Autonomously Learning and Optimizing Systems (SAOS) co-located with 2020 Conference on Artificial Life (ALIFE 2020)
Alan Turing developed the Turing Test as a method to determine whether artificial intelligence (AI) can deceive human interrogators into believing it is sentient by competentl...

The Task2Dial Dataset

Dataset
Gkatzia, D., & Strathearn, C. (2021)
The Task2Dial Dataset. [Dataset]
URL: https://huggingface.co/datasets/cstrathe435/Task2Dial

Artificial Eyes with Emotion and Light Responsive Pupils for Realistic Humanoid Robots

Journal Article
Strathearn, C. (2021)
Artificial Eyes with Emotion and Light Responsive Pupils for Realistic Humanoid Robots. Informatics, 8(4), Article 64. https://doi.org/10.3390/informatics8040064
This study employs a novel 3D engineered robotic eye system with dielectric elastomer actuator (DEA) pupils and a 3D sculpted and colourised gelatin iris membrane to replicate...

A Novel Speech to Mouth Articulation System for Realistic Humanoid Robots

Journal Article
Strathearn, C., & Minhua, M. (2021)
A Novel Speech to Mouth Articulation System for Realistic Humanoid Robots. Journal of Intelligent and Robotic Systems, 101(3), Article 54. https://doi.org/10.1007/s10846-021-01332-2
A significant ongoing issue in realistic humanoid robotics (RHRs) is inaccurate speech to mouth synchronisation. Even the most advanced robotic systems cannot authentically em...

A Framework for Constructing and Evaluating the Role of MR as a Holographic Virtual Guide in Museums

Journal Article
Hammady, R., Ma, M., Al-Kahla, Z., & Strathearn, C. (2021)
A Framework for Constructing and Evaluating the Role of MR as a Holographic Virtual Guide in Museums. Virtual Reality, 25, 895-918. https://doi.org/10.1007/s10055-020-00497-9
Mixed reality (MR) is a cutting-edge technology at the forefront of many new applications in the tourism and cultural heritage sector. This study aims to reshape the museum ex...

Modelling User Preference for Embodied Artificial Intelligence and Appearance in Realistic Humanoid Robots

Journal Article
Strathearn, C., & Ma, M. (2020)
Modelling User Preference for Embodied Artificial Intelligence and Appearance in Realistic Humanoid Robots. Informatics, 7(3), https://doi.org/10.3390/informatics7030028
Realistic humanoid robots (RHRs) with embodied artificial intelligence (EAI) have numerous applications in society as the human face is the most natural interface for communic...

Ambient Information Visualisation and Visitors’ Technology Acceptance of Mixed Reality in Museums

Journal Article
Hammady, R., Ma, M., & Strathearn, C. (2020)
Ambient Information Visualisation and Visitors’ Technology Acceptance of Mixed Reality in Museums. Journal on Computing and Cultural Heritage, 13(2), https://doi.org/10.1145/3359590
The visualisation of historical information and storytelling in museums is a crucial process for transferring knowledge by directly and simplistically engaging the museum audi...